A Kriging-Based Partial Shading Analysis in a Large Photovoltaic Field for Energy Forecast

Authors

  • Annalisa Di Piazza Author
  • Maria Carmela Di Piazza Author
  • Gianpaolo Vitale Author

DOI:

https://doi.org/10.24084/repqj07.475

Keywords:

Models and simulation of renewable energy sources, Photovoltaic array, Statistics, Kriging estimation

Abstract

In this paper the use of the kriging estimation method for the study of partial shading in photovoltaic fields is investigated. Different cases of shadowing spatial distribution on the PV field surface, due to different relative positions between the plant and some clouds, are studied. The adopted method gives a spatial interpolation of the shadowing so that its distribution over all the surface can be obtained on the basis of a limited number of experimental data. In all cases the kriging estimates are nearly the same as the observed data, also when a strongly reduced experimental observations are available. The accuracy of the estimates is also confirmed by Q-1 and double kriging cross validation schemes. The followed approach allows a cheaper and simpler characterization of the PV plant output power allowing energy forecast.

Author Biographies

  • Annalisa Di Piazza

    Università degli Studi di Palermo 
    Dipartimento di Ingegneria Idraulica e Applicazioni Ambientali 
    (DIIAA) 
    Viale delle Scienze – 90128 PALERMO, ITALY 

  • Maria Carmela Di Piazza

    Consiglio Nazionale delle Ricerche 
    Istituto di Studi sui Sistemi Intelligenti per l’Automazione 
    (ISSIA – CNR), sezione di Palermo,  
    Via Dante, 12 90141 PALERMO, ITALY 

  • Gianpaolo Vitale

    Consiglio Nazionale delle Ricerche 
    Istituto di Studi sui Sistemi Intelligenti per l’Automazione 
    (ISSIA – CNR), sezione di Palermo,  
    Via Dante, 12 90141 PALERMO, ITALY 

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Published

2024-01-24

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Section

Articles